• Title/Summary/Keyword: PLS-SEM

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A Study on Intention to Adopt Digital Payment Systems in India: Impact of COVID-19 Pandemic

  • Kavita Jain;Rupal Chowdhary
    • Asia pacific journal of information systems
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    • v.31 no.1
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    • pp.76-101
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    • 2021
  • Digitalization and digital transformations have metamorphized the face of Financial Inclusion globally, more so, in cash obsessed economies like India. The purpose of our study is to empirically analyze the users' intention to adopt digital payment systems, post Demonetisation, during the COVID-19 pandemic in India. The conceptual framework for the study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) adoption model with added operationalized constructs of Perceived Risk and Stickiness to use Cash. A total of 326 respondents were surveyed using a pre-tested questionnaire during the Nationwide Lockdown 3.0 in India. These responses were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM) technique. The findings of the study revealed that performance expectancy and facilitating conditions directly influence the intention of individuals to use digital payment systems, whereas the effect of perceived ease of use on digital payment systems is mediated through the attitude towards the digital payment systems during COVID-19 pandemic situation. Implications of the proposed adoption model are discussed. This will enable the other developing economies to formulate a digital ecosystem, that is here to stay even after the pandemic.

A Multidimensional View of SNS Usage: Conceptualization and Validation

  • Edgardo R. Bravo;Christian Fernando Libaque-Saenz
    • Asia pacific journal of information systems
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    • v.32 no.3
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    • pp.601-629
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    • 2022
  • Social networking sites (SNSs) have become an essential part of people's lives. It is thus crucial to understand how individuals use these platforms. Previous literature has divided usage into numerous activities and then grouped them into dimensions to avoid excessive granularity. However, these categories have not been derived from a uniform theoretical background; consequently, these dimensions are dispersed, overlapping, and disconnected from each other. This study argues that "SNS usage" is a complex phenomenon consisting of multiple activities that can be grouped into dimensions under the umbrella of communication theories and these dimensions are related to each other in a particular multi-dimensional architecture. "SNS usage" is conceptualized as a third-order construct formed by "producing," "consuming," and "communicating." "Producing," in turn, is proposed as a second-order construct manifested by "commenting," "general information sharing," and "self-disclosure." The proposed model was assessed with data collected from 414 USA adult users and PLS-SEM technique. The results show empirical support for the theorized model. SNS providers now have this architecture that clarifies the role of each dimension of use, which will allow them to design effective strategies to encourage the use of these networks.

The Impact of Celebrity Involvement in OTT Platforms on National Image and Visit Intentions: The Mediating Roles of Telepresence and Parasocial Relationships (OTT 플랫폼에서 연예인 관여도가 국가 이미지와 방문 의도에 미치는 영향: 원격 현장감과 준사회적 관계의 매개 역할을 중심으로)

  • Jang, Moonkyoung;Lee, Saerom
    • The Journal of Information Systems
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    • v.33 no.2
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    • pp.47-80
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    • 2024
  • Purpose With the rapid evolution of the OTT platform, this study addresses a notable gap in the existing literature by examining the impact of celebrity involvement in OTT contents on the intention to visit the country. We explore the intricate mechanisms through which the audience's sense of telepresence, facilitated by OTT technology, and parasocial relationships with celebirities contribute to the formation of the national image and, consequently, influence the intention to visit the country. Design/methodology/approach This study applied Partial Least Square Structural Equation Modeling (PLS-SEM) using survey data from 222 participants. Findings Our findings reveal a positive effect of celebrity involvement on both telepresence and parasocial relationship. Additionally, we observe a positive relationship between telepresence and parasocial relationship. The study further highlights the impact of these factors on the cognitive and affective national images. The cognitive and affective national images, in turn, positively influence the overall national image, ultimately impacting the intention to visit the country. This research contributes to the understanding of the interplay between psychological factors related to viewer-celebrity relationships and the technical characteristics of OTT contents in shaping national images and travel intentions.

Factors Influencing Brand Image and Purchase Intention in Indonesia's Furniture Distribution Channels

  • Felicia HERMAN;Ricardo INDRA;Kurniawati;Michael CHRISTIAWAN;Muhammad ARAS
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.33-42
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    • 2024
  • Purpose: The furniture industry has a huge potential for growth in Indonesia. Due to Indonesia's vast natural resources, furniture designers, makers, and retailers are given ease of access. The research analyzes the influence of service quality, promotion, product, and price on brand image and purchase intention in Indonesia's furniture distribution channels. Research design, data, and methodology: The variables used are service quality, promotion, product, price, brand image, and purchase intention. This research is cross-sectional research, which will be conducted among the furniture consumers in Indonesia, from the Instagram followers of a community as of 31 July 2023 with 837.5 thousand followers. The tools that will be used are surveys, conducted according to the sample size and processed using SMARTPLS 4 and the SEM-PLS model. Results: The findings urge that some variables have a significant influence on purchase intention directly but become less significant when influenced by brand image. Some variables can influence purchase intentions significantly through brand image, even if the certain variable did not have a significant influence on purchase intention directly. Conclusions: By knowing the significance of the variables towards brand image and purchase intention, ones with major influence can be implemented as a strategy to improve marketing in Indonesian furniture distributors.

Examining the Adoption of AI based Banking Chatbots: A Task Technology Fit and Network Externalities Perspective

  • Eden Samuel Parthiban;Mohd. Adil
    • Asia pacific journal of information systems
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    • v.33 no.3
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    • pp.652-676
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    • 2023
  • The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

Distribution of Taxpayer Compliance with Culture Dimension as an Intervening Variable in Makassar

  • Dahniyar DAUD;Haliah;Andi KUSUMAWATI;Syarifuddin RASYID
    • Journal of Distribution Science
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    • v.22 no.8
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    • pp.29-36
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    • 2024
  • Purpose: This study examines the impact of cultural dimensions as an intervening variable on taxpayer compliance in Makassar, Indonesia, with a focus on the Bugis tribe's cultural context. Research design data and methodology: The research aims to understand how attitudes, subjective norms, and perceived behavioral control, influenced by local culture, affect taxpayer compliance. A quantitative research design was employed, collecting primary data through questionnaires distributed to 150 taxpayers, with 125 valid responses analyzed using the Structural Equation Model (SEM) and Partial Least Squares (PLS) methodology. Results: The results indicate that cultural factors significantly mediate the relationship between subjective norms and taxpayer compliance, highlighting the role of local cultural values, such as "Siri Na Pacce," in shaping compliance behavior. Subjective norms positively influence both cultural attitudes and compliance, while attitudes and perceived control have a less significant impact. The findings suggest that integrating cultural awareness into tax policy and education can enhance compliance rates in culturally rich regions. Conclusions: this study underscores the importance of considering cultural dimensionsin tax administration, particularly in regions with strong cultural identities, to improve the effectiveness of tax compliance strategies. The findings contribute to the broader understanding of how cultural context influences economic behavior, offering insights for policymakers and tax authorities.

Impact of Big Data Analytics on Indian E-Tailing from SCM to TCS

  • Avinash BM;Divakar GM;Rajasekhara Mouly Potluri;Megha B
    • Journal of Distribution Science
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    • v.22 no.8
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    • pp.65-76
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    • 2024
  • Purpose: The study aims to recognize the relationship between big data analytics capabilities, big data analytics process, and perceived business performance from supply chain management to total customer satisfaction. Research design, data and methodology: The study followed a quantitative approach with a descriptive design. The data was collected from leading e-commerce companies in India using a structured questionnaire, and the data was coded and decoded using MS Excel, SPSS, and R language. It was further tested using Cronbach's alpha, KMO, and Bartlett's test for reliability and internal consistency. Results: The results showed that the big data analytics process acts as a robust mediator between big data analytics capabilities and perceived business performance. The 'direct, indirect and total effect of the model' and 'PLS-SEM model' showed that the big data analytics process directly impacts business performance. Conclusions: A complete indirect relationship exists between big data analytics capabilities and perceived business performance through the big data analytics process. The research contributesto e-commerce companies' understanding of the importance of big data analytics capabilities and processes.

The Influence of Risk Management Practices on Operational Performance and Supply Chain Performance: A Moderation Effect of Inflation Rate

  • Ngoc-Hong DUONG
    • Journal of Distribution Science
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    • v.22 no.9
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    • pp.27-38
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    • 2024
  • Purpose: Sustainable economic growth is a top priority for any country, and inflation is crucial in determining future economic circumstances. Few research exists regarding the impacts of risk management practices on performance outcomes in the supply chain with the mediating role of inflation rate. Hence, this study investigates the important role of risk management practices in the context of high inflation rate. Research design, data and methodology: The PLS-SEM model is applied to identify the effects of risk management practices on operational performance and supply chain performance. The author distributed online and offline surveys to administrators at various businesses. After applying the filtration criteria, 309 responses were retained for further data analysis. Results: This research demonstrates that risk management practice is critical and adds to supply chain performance success. Managers should enhance all risk management procedures to regulate and manage hazards in the supply chain. This allows managers to anticipate and identify potential threats with ease, particularly in high inflation rate situation. Conclusions: The outcomes of this study demonstrate how fully implemented risk management practices can improve operational performance and supply chain performance, as well as control the impact of inflation rate.

A Study on the Effects of User Participation on Stickiness and Continued Use on Internet Community (인터넷 커뮤니티에서 사용자 참여가 밀착도와 지속적 이용의도에 미치는 영향)

  • Ko, Mi-Hyun;Kwon, Sun-Dong
    • Asia pacific journal of information systems
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    • v.18 no.2
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    • pp.41-72
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    • 2008
  • The purpose of this study is the investigation of the effects of user participation, network effect, social influence, and usefulness on stickiness and continued use on Internet communities. In this research, stickiness refers to repeat visit and visit duration to an Internet community. Continued use means the willingness to continue to use an Internet community in the future. Internet community-based companies can earn money through selling the digital contents such as game, music, and avatar, advertizing on internet site, or offering an affiliate marketing. For such money making, stickiness and continued use of Internet users is much more important than the number of Internet users. We tried to answer following three questions. Fist, what is the effects of user participation on stickiness and continued use on Internet communities? Second, by what is user participation formed? Third, are network effect, social influence, and usefulness that was significant at prior research about technology acceptance model(TAM) still significant on internet communities? In this study, user participation, network effect, social influence, and usefulness are independent variables, stickiness is mediating variable, and continued use is dependent variable. Among independent variables, we are focused on user participation. User participation means that Internet user participates in the development of Internet community site (called mini-hompy or blog in Korea). User participation was studied from 1970 to 1997 at the research area of information system. But since 1997 when Internet started to spread to the public, user participation has hardly been studied. Given the importance of user participation at the success of Internet-based companies, it is very meaningful to study the research topic of user participation. To test the proposed model, we used a data set generated from the survey. The survey instrument was designed on the basis of a comprehensive literature review and interviews of experts, and was refined through several rounds of pretests, revisions, and pilot tests. The respondents of survey were the undergraduates and the graduate students who mainly used Internet communities. Data analysis was conducted using 217 respondents(response rate, 97.7 percent). We used structural equation modeling(SEM) implemented in partial least square(PLS). We chose PLS for two reason. First, our model has formative constructs. PLS uses components-based algorithm and can estimated formative constructs. Second, PLS is more appropriate when the research model is in an early stage of development. A review of the literature suggests that empirical tests of user participation is still sparse. The test of model was executed in the order of three research questions. First user participation had the direct effects on stickiness(${\beta}$=0.150, p<0.01) and continued use (${\beta}$=0.119, p<0.05). And user participation, as a partial mediation model, had a indirect effect on continued use mediated through stickiness (${\beta}$=0.007, p<0.05). Second, optional participation and prosuming participation significantly formed user participation. Optional participation, with a path magnitude as high as 0.986 (p<0.001), is a key determinant for the strength of user participation. Third, Network effect (${\beta}$=0.236, p<0.001). social influence (${\beta}$=0.135, p<0.05), and usefulness (${\beta}$=0.343, p<0.001) had directly significant impacts on stickiness. But network effect and social influence, as a full mediation model, had both indirectly significant impacts on continued use mediated through stickiness (${\beta}$=0.11, p<0.001, and ${\beta}$=0.063, p<0.05, respectively). Compared with this result, usefulness, as a partial mediation model, had a direct impact on continued use and a indirect impact on continued use mediated through stickiness. This study has three contributions. First this is the first empirical study showing that user participation is the significant driver of continued use. The researchers of information system have hardly studies user participation since late 1990s. And the researchers of marketing have studied a few lately. Second, this study enhanced the understanding of user participation. Up to recently, user participation has been studied from the bipolar viewpoint of participation v.s non-participation. Also, even the study on participation has been studied from the point of limited optional participation. But, this study proved the existence of prosuming participation to design and produce products or services, besides optional participation. And this study empirically proved that optional participation and prosuming participation were the key determinant for user participation. Third, our study compliments traditional studies of TAM. According prior literature about of TAM, the constructs of network effect, social influence, and usefulness had effects on the technology adoption. This study proved that these constructs still are significant on Internet communities.

The Effect of Strategic and Operational Integration of 1st supplier's buyer and supplier on Production Flexibility (1차 협력사의 구매자 및 공급자와의 전략적·운영적 통합이 생산의 유연성에 미치는 영향)

  • Kim, Jong Hoon;Lee, Tae Hee
    • International Commerce and Information Review
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    • v.18 no.4
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    • pp.285-310
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    • 2016
  • The purpose of this study empirically verified impact of strategic and operational integration between first-tier supplier and their supplier and strategic and operational integration between first-tier supplier and their buyer on operation performance. In order to achieve our goal, we tested reliability, validity and path coefficient using structural equation modeling-partial least square (SEM-PLS) over 284 first-tier manufacturing suppliers data that Korea Productivity Center (KPC) surveyed in 2013. This study results indicated that operational integration between first-tier supplier and their supplier or buyer has positive impact on production process flexibility. Meanwhile, strategic integration between first-tier supplier and buyer has positive impact on production flexibility. On the other hand, strategic integration between first-tier supplier and supplier has negative impact on production flexibility. And production process flexibility has positive impact on production flexibility. By empirically testing to departmentalize level and scope of supply chain integration, this study has academic and managerial implications from first-tier perspective on.

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